Eliminating the Automotive Data Blind Spot: Upstream Integrates with Splunk

Unifying Automotive and Physical AI XDR for the Modern SOC

As the mobility and physical AI ecosystem expands, cybersecurity experts and SOC analysts face a critical hurdle: automotive and physical AI data is highly fragmented. This fragmentation creates a persistent “blind spot” in the enterprise security posture, making it nearly impossible to run effective XDR capabilities across connected vehicles, edge devices, and smart mobility applications.

Upstream is bridging this gap through a new, high-fidelity integration with Splunk. By combining Upstream’s stateful and context-aware XDR with Splunk’s industry-leading analytics, organizations can finally achieve true cross-domain visibility, effective remediation and close the feedback loop with product and engineering teams. This out of the box, pre-built integration accelerates time-to-market for the combined solution.

“Upstream has been a valued partner in the Splunk and Cisco ecosystem, and we are excited to recognize this next milestone with the successful deployment of their Splunk App and Technical Add-on on Splunkbase. These integrations give joint customers and prospects a pre-built way to gain deeper visibility into anomalies across IoT and automotive-focused data environments. Upstream’s use of AI across product, component, and API-level data complements Splunk’s role as a unified platform for IT, security, and product telemetry.”
(Luke Peterson, Solutions Engineer, ISV Partners at Splunk)

Deep Contextual Intelligence via Live Digital Twins

At the core of this integration is Upstream’s live digital twin technology. Unlike traditional security tools, Upstream creates a persistent, near real-time representation of every monitored asset, including connected vehicles, edge devices, AI agents, app endpoints and consumers.

• Behavioral and Stateful Analysis: ML models analyze patterns within the digital twin to identify known and unknown threats based on both historical single asset analysis and cohort-level anomalies rather than isolated events.
• Layered Defense: The platform monitors the device, cloud, application, and AI layers, treating protocol and API interactions as first-class telemetry to understand how assets are actually consumed and potentially misused.
• Upstream’s Ocean AI: Leveraging Generative AI and agentic AI, the solution offers advanced natural language querying, investigations and threat hunting based on complex event chains and vast amounts of data.

The Splunk “Gold Standard” Experience

Upstream’s Splunk App delivers a native integration designed for the rigorous demands of a modern SOC.

• Real-Time Security Posture: A centralized view of security alerts, vulnerabilities, and affected assets across the entire mobility fleet.

• Geospatial & Behavioral Insights: Track the geographical distribution of threats and identify impact by specific device, app or consumer types.
• Coordinated Remediation: Integrate Upstream’s deep automotive, mobility and physical AI context with Splunk’s workflows to orchestrate automated playbooks, initiating cross-team notifications, remediation activities and more.

Ready to enhance your security posture?

Visit Splunkbase for integration and deployment details.